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Fqh22/dsh-rag#plugin
“Per-project long-term memory for DeepSeek Harness.”
Per-project long-term memory for DeepSeek Harness: a panel to browse, search and edit what each project knows, and a pointer injected after the first user message telling the agent to read the handoff pack. The memory store itself is a local MCP server (Python + SQLite) in the same repository; install the plugin from npm, then clone the repo, set up the MCP server per the README, and the plugin locates the checkout through DSH_RAG_ROOT or a common install path. Handoff packs are ordered for prompt-cache reuse: stable baseline first, facts appended at the end.
vectorize-io/hindsight
Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.
volcengine/OpenViking
OpenViking memory and context bundle for DeepSeek Harness: pre-step auto-recall and profile injection, session capture, `viking://` URI guarding, and recall/write memory tools backed by an OpenViking server.
MemTensor/MemOS
Local-first memory plugin for DeepSeek Harness: layered L1/L2/L3 memory with automatic capture, manual memos_* retrieval tools, and a built-in memory viewer.
agentscope-ai/ReMe
Connects DeepSeek Harness to ReMe's local-first, self-evolving personal knowledge base: automatically captures completed main-agent conversations as user-owned Markdown memory, searches conversations and source material through reme_search with BM25, optional embeddings, and wikilink expansion, and schedules daily memory consolidation.